{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 20215 (\\N{CJK UNIFIED IDEOGRAPH-4EF7}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 26684 (\\N{CJK UNIFIED IDEOGRAPH-683C}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 32447 (\\N{CJK UNIFIED IDEOGRAPH-7EBF}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 22270 (\\N{CJK UNIFIED IDEOGRAPH-56FE}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 21450 (\\N{CJK UNIFIED IDEOGRAPH-53CA}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 22343 (\\N{CJK UNIFIED IDEOGRAPH-5747}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 26085 (\\N{CJK UNIFIED IDEOGRAPH-65E5}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 26399 (\\N{CJK UNIFIED IDEOGRAPH-671F}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/30\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\keras\\src\\layers\\rnn\\rnn.py:200: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
      "  super().__init__(**kwargs)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - loss: 0.0951 - val_loss: 0.0026\n",
      "Epoch 2/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 0.0019 - val_loss: 6.3709e-04\n",
      "Epoch 3/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 5.5885e-04 - val_loss: 6.0518e-04\n",
      "Epoch 4/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 5.3260e-04 - val_loss: 6.0861e-04\n",
      "Epoch 5/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 5.2726e-04 - val_loss: 6.0496e-04\n",
      "Epoch 6/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 5.1925e-04 - val_loss: 5.8677e-04\n",
      "Epoch 7/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 5.0819e-04 - val_loss: 5.7659e-04\n",
      "Epoch 8/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 5.0037e-04 - val_loss: 5.6166e-04\n",
      "Epoch 9/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 4.9306e-04 - val_loss: 5.4598e-04\n",
      "Epoch 10/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 4.8542e-04 - val_loss: 5.3135e-04\n",
      "Epoch 11/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 4.7767e-04 - val_loss: 5.1782e-04\n",
      "Epoch 12/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 4.6987e-04 - val_loss: 5.0424e-04\n",
      "Epoch 13/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 4.6211e-04 - val_loss: 4.9150e-04\n",
      "Epoch 14/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 4.5457e-04 - val_loss: 4.7872e-04\n",
      "Epoch 15/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 4.4672e-04 - val_loss: 4.6608e-04\n",
      "Epoch 16/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 4.3901e-04 - val_loss: 4.5384e-04\n",
      "Epoch 17/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 4.3108e-04 - val_loss: 4.4244e-04\n",
      "Epoch 18/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 4.2312e-04 - val_loss: 4.3194e-04\n",
      "Epoch 19/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 4.1539e-04 - val_loss: 4.2245e-04\n",
      "Epoch 20/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 4.0779e-04 - val_loss: 4.1449e-04\n",
      "Epoch 21/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 4.0025e-04 - val_loss: 4.0700e-04\n",
      "Epoch 22/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 3.9261e-04 - val_loss: 3.9987e-04\n",
      "Epoch 23/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 3.8499e-04 - val_loss: 3.9388e-04\n",
      "Epoch 24/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 3.7757e-04 - val_loss: 3.8884e-04\n",
      "Epoch 25/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 3.7031e-04 - val_loss: 3.8357e-04\n",
      "Epoch 26/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step - loss: 3.6319e-04 - val_loss: 3.7768e-04\n",
      "Epoch 27/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 3.5647e-04 - val_loss: 3.7139e-04\n",
      "Epoch 28/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 3.5005e-04 - val_loss: 3.6401e-04\n",
      "Epoch 29/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 3.4414e-04 - val_loss: 3.5630e-04\n",
      "Epoch 30/30\n",
      "\u001b[1m57/57\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step - loss: 3.3891e-04 - val_loss: 3.4832e-04\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 35757 (\\N{CJK UNIFIED IDEOGRAPH-8BAD}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 32451 (\\N{CJK UNIFIED IDEOGRAPH-7EC3}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 21644 (\\N{CJK UNIFIED IDEOGRAPH-548C}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 39564 (\\N{CJK UNIFIED IDEOGRAPH-9A8C}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 35777 (\\N{CJK UNIFIED IDEOGRAPH-8BC1}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 25439 (\\N{CJK UNIFIED IDEOGRAPH-635F}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 22833 (\\N{CJK UNIFIED IDEOGRAPH-5931}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 11ms/step\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 32929 (\\N{CJK UNIFIED IDEOGRAPH-80A1}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 31080 (\\N{CJK UNIFIED IDEOGRAPH-7968}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 20215 (\\N{CJK UNIFIED IDEOGRAPH-4EF7}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 26684 (\\N{CJK UNIFIED IDEOGRAPH-683C}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 39044 (\\N{CJK UNIFIED IDEOGRAPH-9884}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 27979 (\\N{CJK UNIFIED IDEOGRAPH-6D4B}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 26102 (\\N{CJK UNIFIED IDEOGRAPH-65F6}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 38388 (\\N{CJK UNIFIED IDEOGRAPH-95F4}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 23454 (\\N{CJK UNIFIED IDEOGRAPH-5B9E}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "c:\\Users\\史昊轩\\.conda\\envs\\tensorflow\\lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 38469 (\\N{CJK UNIFIED IDEOGRAPH-9645}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "均方误差: 0.01267\n",
      "均方根误差: 0.11254\n",
      "平均绝对误差: 0.08137\n",
      "R2: 0.96824\n"
     ]
    }
   ],
   "source": [
    "# 安装 Tushare 库（如果还没有安装）\n",
    "# !pip install tushare\n",
    "\n",
    "import pandas as pd\n",
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from numpy import array\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import Dense, LSTM\n",
    "import mplfinance as mpf\n",
    "from mplfinance.original_flavor import candlestick2_ohlc\n",
    "from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score\n",
    "import tushare as ts  # 导入 Tushare 库\n",
    "\n",
    "# 设置随机种子\n",
    "np.random.seed(1)\n",
    "tf.random.set_seed(1)\n",
    "\n",
    "# 获取数据\n",
    "# 请确保你的API Key是有效的，并且不要在公共代码中暴露它\n",
    "pro = ts.pro_api('eb40c02798b5f92812c3bcc2cc837933c66ba60d3f63dfc1772b45ce')\n",
    "df = pro.daily(ts_code='601939.SH', start_date='20100101', end_date='20241225')\n",
    "df.to_csv(\"stock601939.csv\")\n",
    "\n",
    "# 读取并处理数据\n",
    "mydata = pd.read_csv(\"stock601939.csv\", parse_dates=[\"trade_date\"], index_col=\"trade_date\")[[\"open\", \"high\", \"low\", \"close\"]]\n",
    "mydata = mydata.sort_index(ascending=True)  # 确保数据按时间顺序排列\n",
    "\n",
    "# 绘制K线图\n",
    "fig, ax = plt.subplots(figsize=(14, 7))\n",
    "candlestick2_ohlc(ax, opens=mydata['open'].values, highs=mydata['high'].values, lows=mydata['low'].values, closes=mydata['close'].values, width=0.5, colorup=\"r\", colordown=\"g\")\n",
    "\n",
    "# 添加均线\n",
    "mydata['5'] = mydata['close'].rolling(window=5).mean()\n",
    "mydata['10'] = mydata['close'].rolling(window=10).mean()\n",
    "\n",
    "plt.plot(mydata['5'].values, alpha=0.5, label='MA5')\n",
    "plt.plot(mydata['10'].values, alpha=0.5, label='MA10')\n",
    "\n",
    "ax.legend(facecolor='white', edgecolor='white', fontsize=10)\n",
    "plt.title('K线图及均线')\n",
    "plt.xlabel('日期')\n",
    "plt.ylabel('价格')\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "\n",
    "# 参数设置\n",
    "n_timestamp = 5\n",
    "n_epochs = 30\n",
    "\n",
    "# 数据准备\n",
    "training_set = mydata.iloc[:, 3:4].to_numpy()  # 使用 'close' 列\n",
    "test_set = mydata.iloc[-300:, 3:4].to_numpy()  # 使用最后300天作为测试集\n",
    "\n",
    "sc = MinMaxScaler(feature_range=(0, 1))\n",
    "training_set_scaled = sc.fit_transform(training_set)\n",
    "testing_set_scaled = sc.transform(test_set)\n",
    "\n",
    "# 数据切分\n",
    "def data_split(sequence, n_timestamp):\n",
    "    X = []\n",
    "    y = []\n",
    "    for i in range(len(sequence) - n_timestamp):\n",
    "        seq_x, seq_y = sequence[i:i+n_timestamp], sequence[i+n_timestamp]\n",
    "        X.append(seq_x)\n",
    "        y.append(seq_y)\n",
    "    return np.array(X), np.array(y)\n",
    "\n",
    "X_train, y_train = data_split(training_set_scaled, n_timestamp)\n",
    "X_train = X_train.reshape(X_train.shape[0], X_train.shape[1], 1)\n",
    "X_test, y_test = data_split(testing_set_scaled, n_timestamp)\n",
    "X_test = X_test.reshape(X_test.shape[0], X_test.shape[1], 1)\n",
    "\n",
    "# 模型构建\n",
    "model = Sequential()\n",
    "model.add(LSTM(units=50, activation='relu', input_shape=(X_train.shape[1], 1)))\n",
    "model.add(Dense(units=1))\n",
    "\n",
    "model.compile(optimizer=tf.keras.optimizers.Adam(0.001), loss='mean_squared_error')\n",
    "\n",
    "# 训练模型\n",
    "history = model.fit(X_train, y_train, batch_size=64, epochs=n_epochs, validation_data=(X_test, y_test), validation_freq=1)\n",
    "\n",
    "# 绘制损失曲线\n",
    "plt.figure(figsize=(14, 7))\n",
    "plt.plot(history.history['loss'], label='Training Loss')\n",
    "plt.plot(history.history['val_loss'], label='Validation Loss')\n",
    "plt.title('训练和验证损失')\n",
    "plt.xlabel('Epochs')\n",
    "plt.ylabel('Loss')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "\n",
    "# 预测\n",
    "predicted_stock_price = model.predict(X_test)\n",
    "predicted_stock_price = sc.inverse_transform(predicted_stock_price)\n",
    "real_stock_price = sc.inverse_transform(y_test)\n",
    "\n",
    "# 绘制预测结果\n",
    "plt.figure(figsize=(14, 7))\n",
    "plt.plot(real_stock_price, color='red', label='实际股票价格')\n",
    "plt.plot(predicted_stock_price, color='blue', label='预测股票价格')\n",
    "plt.title('股票价格预测')\n",
    "plt.xlabel('时间')\n",
    "plt.ylabel('股票价格')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "\n",
    "# 计算评价指标\n",
    "MSE = mean_squared_error(real_stock_price, predicted_stock_price)\n",
    "RMSE = mean_squared_error(real_stock_price, predicted_stock_price) ** 0.5\n",
    "MAE = mean_absolute_error(real_stock_price, predicted_stock_price)\n",
    "R2 = r2_score(real_stock_price, predicted_stock_price)\n",
    "\n",
    "print('均方误差: %.5f' % MSE)\n",
    "print('均方根误差: %.5f' % RMSE)\n",
    "print('平均绝对误差: %.5f' % MAE)\n",
    "print('R2: %.5f' % R2)\n",
    "\n"
   ]
  }
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